92 lines
3.0 KiB
C++
92 lines
3.0 KiB
C++
/* Copyright 2021 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <stdint.h>
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#include <string.h>
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#include <string>
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#include <utility>
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#include "tensorflow/lite/core/c/builtin_op_data.h"
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#include "tensorflow/lite/core/c/common.h"
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#include "tensorflow/lite/core/subgraph.h"
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#include "tensorflow/lite/experimental/resource/resource_variable.h"
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#include "tensorflow/lite/kernels/internal/tensor.h"
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#include "tensorflow/lite/kernels/kernel_util.h"
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namespace tflite {
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namespace ops {
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namespace builtin {
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namespace var_handle {
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// Util struct with params that identifies the resource.
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struct VarParams {
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int resource_id;
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};
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void* Init(TfLiteContext* context, const char* buffer, size_t length) {
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const auto* var_params =
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reinterpret_cast<const TfLiteVarHandleParams*>(buffer);
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VarParams* params = new VarParams;
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auto* subgraph = reinterpret_cast<Subgraph*>(context->impl_);
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// Create a new entry if doesn't exist, return the existing one otherwise.
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auto it = subgraph->resource_ids().insert(std::make_pair(
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std::make_pair(
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std::string(var_params->container ? var_params->container : ""),
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std::string(var_params->shared_name ? var_params->shared_name : "")),
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static_cast<int>(subgraph->resource_ids().size())));
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params->resource_id = it.first->second;
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return params;
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}
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void Free(TfLiteContext* context, void* buffer) {
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delete reinterpret_cast<VarParams*>(buffer);
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}
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TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
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TfLiteTensor* output;
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TF_LITE_ENSURE_OK(context, GetOutputSafe(context, node, 0, &output));
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output->allocation_type = kTfLiteArenaRwPersistent;
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const int kBytesRequired = sizeof(int32_t);
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TfLiteTensorRealloc(kBytesRequired, output);
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output->bytes = kBytesRequired;
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return kTfLiteOk;
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}
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TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
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auto* op_data = static_cast<VarParams*>(node->user_data);
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TF_LITE_ENSURE(context, op_data != nullptr);
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TfLiteTensor* output;
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TF_LITE_ENSURE_OK(context, GetOutputSafe(context, node, 0, &output));
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memcpy(output->data.raw, reinterpret_cast<char*>(&op_data->resource_id),
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sizeof(op_data->resource_id));
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return kTfLiteOk;
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}
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} // namespace var_handle
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TfLiteRegistration* Register_VAR_HANDLE() {
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static TfLiteRegistration r = {var_handle::Init, var_handle::Free,
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var_handle::Prepare, var_handle::Eval};
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return &r;
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}
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} // namespace builtin
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} // namespace ops
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} // namespace tflite
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